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The second approach offers broader feature support, seen in projects like Cloud Hypervisor or QEMU microvm. Built for heavier and more dynamic workloads, it supports hot-plugging memory and CPUs, which is useful for dynamic build runners that need to scale up during compilation. It also supports GPU passthrough, which is essential for AI workloads, while still maintaining the fast boot times of a microVM.
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It made me wonder, how damaging would it be for an active business? A few hours of downtime costs real money. For me it costed only time.
20:04, 27 февраля 2026Экономика
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